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data analyst Jobs in Bangalore Jobs In Mangaluru

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data science curriculum intern

SkilloVilla

<div>
 
 
 About the Job
 
 
 
 We are looking for a Data Scientist proficient with AI/ML/NLP/CV/GenAI. Your primary focus will be designing and developing curriculum for our new AI focused programs.
 
 
 
 
 
 
 Location: Bengaluru (Work from Office)
 
 
 
 
 Duration: 6 Months + PPO (based on performance)
 
 
 
 
 
 
 
 Benefits
 
 
 <ul>
 <li>
 Certificate of Internship
 </li>
 <li>
 Competitive compensation
 </li>
 <li>
 An opportunity to
 
 convert the internship to a full-time role
 
 </li>
 <li>
 Get
 
 mentoring from the COO and CTO
 
 </li>
 <li>
 Work in an agile environment on quality problems
 </li>
 </ul>
 
 
 
 
 
 Roles and Responsibilities
 
 
 <ul>
 <li>
 Work closely with program managers and industry experts to design and evolve the Data Science curriculum, with a specific focus on
 
 ML/DL/GenAI/NLP/CV
 
 .
 </li>
 <li>
 Design and build high-quality learning products that are focused on
 
 real-world applications and employment
 
 .
 </li>
 <li>
 Collaborate cross-functionally with teams to ensure a seamless development process for
 
 course materials and related content
 
 (video lectures, reading materials, problem statements, case studies).
 </li>
 <li>
 Stay updated with the latest
 
 trends and industry developments in Data Science
 
 to ensure the curriculum remains relevant and up-to-date.
 </li>
 <li>
 Manage and track student progress through assignments, quizzes, and other assessments.
 </li>
 </ul>
 
 
 
 
 
 Skills Required
 
 
 
 
 
 Bare Minimum
 
 
 
 <ul>
 <li>
 Knowledge: A solid understanding of Data Science, specifically in areas such as ML, DL, and NLP, with practical project development experience in these areas as well.
 </li>
 <li>
 Education: BCA or BTech in AI, ML, Data Science, Engineering, or relevant fields. Freshers are welcome to apply.
 </li>
 <li>
 Programming: Hands-on experience with Python (pandas, numpy, scipy, matplotlib), including DSA, and knowledge of popular ML frameworks like TensorFlow or similar.
 </li>
 <li>
 Communication: Strong written and verbal communication skills in English.
 </li>
 </ul>
 
 
 ﻿
 
 Recommended
 
 
 
 <ul>
 <li>
 Knowledge: A solid understanding of GenAI and CV, with practical project development experience in these areas as well.
 </li>
 <li>
 Education: MTech or MSc with upto 1 year of experience in building AI solutions.
 </li>
 <li>
 Programming: Knowledge of DSA and backend development (FastAPI) using Python.
 </li>
 <li>
 Learning Capabilities: A passion for rapid learning and the ability to quickly adapt to new tools, techniques, and technologies, even when unfamiliar.
 </li>
 </ul>
 
 
 
 
 
 Ready to showcase your talents?
 
 
 
 
 Submit your resume, and let us see what you'vs got!
 
 
</div>

Data Science Curriculum Intern

Unacademy

<div>
 
 
 Legal Intern | Unacademy
 
 
 
 
 Location:
 
 Bangalore
 
 
 
 Duration:
 
 3 months
 
 
 
 About Unacademy:
 
 
 
 Unacademy is India&rsquo;s largest learning platform, empowering millions of learners to achieve their goals. We are on a mission to make quality education accessible to all, and our Legal team plays a crucial role in supporting our fast-growing business.
 
 
 
 What You&rsquo;ll Do:
 
 
 
 As a Legal Intern, you will get hands-on experience working on real-world legal matters and contribute to the growth of a dynamic EdTech company. Your responsibilities may include:
 
 <ul>
 <li>
 Drafting, reviewing, and analyzing contracts, agreements, and NDAs
 </li>
 <li>
 Conducting legal research and providing support on regulatory and compliance matters
 </li>
 <li>
 Assisting in intellectual property matters, including copyrights and trademarks
 </li>
 <li>
 Supporting the Legal team in day-to-day operations and documentation
 </li>
 <li>
 Collaborating with cross-functional teams to address legal queries
 </li>
 </ul>
 
 
 Who We&rsquo;re Looking For:
 
 
 <ul>
 <li>
 Currently pursuing or recently graduated with a degree in Law (LLB, BA.LLB or equivalent)
 </li>
 <li>
 Strong research, analytical, and drafting skills
 </li>
 <li>
 Attention to detail and ability to work independently
 </li>
 <li>
 Good understanding of corporate, IP, and contract law is a plus
 </li>
 <li>
 Passion for EdTech and fast-paced startup environments
 </li>
 </ul>
 
 
 What You&rsquo;ll Gain:
 
 
 <ul>
 <li>
 Practical exposure to corporate and EdTech legal frameworks
 </li>
 <li>
 Mentorship from experienced legal professionals
 </li>
 <li>
 Opportunity to make meaningful contributions to a high-growth startup
 </li>
 </ul>
 
 
</div>

Legal Intern

FedEx

<div>
 Responsible for conducting in-depth analysis of complex datasets, deploying predictive models, applying optimization techniques, designing decision support systems, analyzing experiments, collaborating with cross-functional teams, staying abreast of advancements, and assessing the impact of data-driven decisions.
 
 
 Grade - ____
 
 
 Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date
 
 
 
 What Your Main Responsibilities Are
 
 
 
 <ul>
 <li>
 Conduct in-depth analysis of complex data sets to uncover actionable insights and trends.
 </li>
 <li>
 Develop and deploy predictive models to forecast business outcomes and support decision-making processes.
 </li>
 <li>
 Apply optimization techniques to improve business processes and resource allocation.
 </li>
 <li>
 Design and implement decision support systems that enable stakeholders to make data-driven decisions.
 </li>
 <li>
 Design and analyze experiments to evaluate the effectiveness of business strategies and interventions.
 </li>
 <li>
 Collaborate with cross-functional teams and stakeholders to understand business requirements and priorities.
 </li>
 <li>
 Stay abreast of advancements in data science, machine learning, and decision science to enhance analytical capabilities.
 </li>
 <li>
 Assess the impact of data-driven decisions on key business metrics and outcomes and iterate on models and strategies accordingly.
 
 
 </li>
 </ul>
 Education: Bachelor's degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or similar discipline. Master's degree or PhD is preferred.
 
 
 Relevant work experience in decision science based on the following number of years:
 
 
 Standard I: Two (2) years
 
 
 Standard II: Three (3) years
 
 
 Senior I: Four (4) years
 
 
 Senior II: Five (5) years
 
 
 
 Knowledge, Skills And Abilities
 
 
 
 <ul>
 <li>
 Fluency in English
 </li>
 <li>
 Analytical Skills
 </li>
 <li>
 Accuracy &amp; Attention to Detail
 </li>
 <li>
 Numerical Skills
 </li>
 <li>
 Planning &amp; Organizing Skills
 </li>
 <li>
 Presentation Skills
 </li>
 <li>
 Statistical and Mathematical Knowledge
 </li>
 <li>
 Data Modeling and Visualization Skills
 </li>
 <li>
 Programming Skills
 
 
 </li>
 </ul>
 FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone.
 
 
 All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances.
 
 
 Our Company
 
 
 FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World&rsquo;s Most Admired Companies by "Fortune" magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding.
 
 
 Our Philosophy
 
 
 The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company.
 
 
 Our Culture
 
 
 Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions, and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970&rsquo;s. While other companies can copy our systems, infrastructure, and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today&rsquo;s global marketplace.
</div>

Decision Scientist I

MakeMyTrip

<div>
 Job Title: Director &mdash; Data Scientist
 
 
 Location: Bengaluru
 
 
 Experience: 14+ Years
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build end to end DS/AI/ML solutions.
 </li>
 <li>
 Own analyses, model training, deployment, business impact A/B evaluation, and subsequent iterations, for best-in-class data science models.
 </li>
 <li>
 Primary focus on dynamic pricing and discounting modules for various lines of business (flights, hotels, domestic, international, B2C meta) and potentially other products of both brands MakeMyTrip and GoIbibo.
 </li>
 <li>
 Work with stakeholders at various stages of the project, lead project development.
 </li>
 <li>
 Conduct iterative experiments, demonstrating incremental lift in business metrics due to AI/ML initiatives.
 </li>
 <li>
 Improve the system quality with best-in-class models and engineering tech.
 </li>
 <li>
 Opportunity to work with large click stream e-commerce data sets, at MakeMyTrip, GoIbibo, and TripMoney FinTech.
 </li>
 <li>
 Build and own robust data science APIs meeting 99% SLA at very high RPS. Also, ensure training/inference MLOps rigour.
 </li>
 <li>
 Show business impact while having the opportunity to build best-in-class AI/ML models.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in CS, EE, Mathematics, Statistics, Engineering technical field, or equivalent practical experience.
 </li>
 <li>
 A minimum of 14-18 years of experience (minimum of 10 years with a Ph. D. ) in applied DS /AI/ ML.
 </li>
 <li>
 Production experience in AI/ML Modelling, Pricing, discounting, recommendation systems and personalization.
 </li>
 <li>
 Production experience in price elasticity modeling or causal uplift modeling with combinatorial optimization is a plus.
 </li>
 <li>
 Production experience in contextual bandits and off-policy reinforcement learning methods is big plus.
 </li>
 <li>
 Production experience in sequential/incremental learning systems is a plus.
 </li>
 <li>
 Preferably, has worked in e-commerce.
 </li>
 <li>
 Experience with applying machine learning techniques to big data systems (e. g., Spark or Spark SQL) with TB to PB scale datasets.
 </li>
 <li>
 If one has a Ph. D, it should be in a quantitative field with strong/relevant experience for the problems mentioned above.
 </li>
 <li>
 Keen aptitude to learn and experiment with AI/ML adoption across various use cases.
 </li>
 <li>
 Experience with large-scale A/B testing systems, especially in the domain of online advertising or online commerce.
 </li>
 </ul>
</div>

Director - Data Scientist

Cisco

<div>
 
 Meet the Team
 
 
 
 Splunk, a Cisco company, is building a safer, more resilient digital world with an end‑to‑end, full‑stack platform designed for hybrid, multi‑cloud environments. Join the Foundational Modeling team at Splunk, where we advance the state of AI for high‑volume, real‑time, multi‑modal machine‑generated data &mdash; including logs, time series, traces, and events. We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco&rsquo;s global engineering capabilities. Our work spans networking, security, observability, and customer experience &mdash; designing and deploying foundation models that enhance reliability, strengthen security, prevent downtime, and deliver predictive insights across Splunk Observability, Security, and Platform at enterprise scale. You&rsquo;ll be part of a culture that values technical excellence, impact‑driven innovation, and cross‑functional collaboration &mdash; all within a flexible, growth‑oriented environment.
 
 
 
 Your Impact
 
 
 
 <ul>
 <li>
 Own and develop specific components of foundation-model pipelines for machine-generated data&mdash;primarily logs, with supporting work across time series, traces, and events.
 </li>
 <li>
 Implement and optimize parts of distributed training and inference workflows, including profiling, scaling, and efficiency improvements.
 </li>
 <li>
 Collaborate with engineering, product, and data science teams to translate requirements into workable prototypes and support production integration.
 </li>
 <li>
 Participate in team knowledge-sharing, documentation, and internal technical discussions to help strengthen collective expertise.
 </li>
 <li>
 Stay current with emerging AI/ML advances and bring relevant ideas, papers, and techniques into ongoing research and development.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 PhD in Computer Science or related quantitative field, or Master plus 2+ years of industry research experience.
 </li>
 <li>
 Proven track record in at least one of the following areas: large language modeling for both structure and unstructured data, deep learning‑based time series modeling, advanced anomaly detection, and multi-modality modeling.
 </li>
 <li>
 Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow)
 </li>
 <li>
 Experience translating research ideas into production systems.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Deep NLP &amp; Domain‑Adapted LLMs: Background in building and adapting large‑scale language models (e.g., T5, BERT, LLaMA) for specialized domains including structured/unstructured logs, text, and event sequences.
 </li>
 <li>
 Log Analytics Expertise &ndash; In‑depth knowledge of structured/unstructured system logs, event sequence analysis, anomaly detection, and root cause identification.
 </li>
 <li>
 Advanced Anomaly Detection &ndash; Experience creating robust, scalable approaches (statistical, deep learning, or hybrid) for high‑volume, real‑time logs data.
 </li>
 <li>
 Multi‑Modal AI Modeling &ndash; Strong track record fusing logs, time series, traces, tabular data, and graphs for foundation models tackling complex operational insights.
 </li>
 <li>
 Large‑Scale Training &amp; Optimization &ndash; Experience optimizing model architectures, distributed training pipelines, and inference efficiency to minimize cost and latency while preserving accuracy.
 </li>
 <li>
 MLOps &amp; Continuous Learning &ndash; Fluency in automated retraining, drift detection, incremental updates, and production monitoring of ML models.
 </li>
 <li>
 Strong Research Track Record &ndash; Publications in top AI/ML conferences or journals (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ACL, KDD) demonstrating contributions to state‑of‑the‑art methods and real‑world applications.
 
 
 </li>
 </ul>
 Why Cisco?
 
 
 At Cisco, we&rsquo;re revolutionizing how data and infrastructure connect and protect organizations in the AI era &ndash; and beyond. We&rsquo;ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
 
 
 Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you&rsquo;ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
 
 
 We are Cisco, and our power starts with you.
</div>

Applied AI Scientist

PhonePe

<div>
 
 About PhonePe Limited:
 
 
 
 Headquartered in India, its flagship product, the PhonePe digital payments app, was launched in Aug 2016. As of April 2025, PhonePe has over 60 Crore (600 Million) registered users and a digital payments acceptance network spread across over 4 Crore (40+ million) merchants. PhonePe also processes over 33 Crore (330+ Million) transactions daily with an Annualized Total Payment Value (TPV) of over INR 150 lakh crore.
 
 
 PhonePe&rsquo;s portfolio of businesses includes the distribution of financial products (Insurance, Lending, and Wealth) as well as new consumer tech businesses (Pincode - hyperlocal e-commerce and Indus AppStore Localized App Store for the Android ecosystem) in India, which are aligned with the company&rsquo;s vision to offer every Indian an equal opportunity to accelerate their progress by unlocking the flow of money and access to services.
 
 
 
 Culture:
 
 
 
 At PhonePe, we go the extra mile to make sure you can bring your best self to work, Everyday!. And that starts with creating the right environment for you. We empower people and trust them to do the right thing. Here, you own your work from start to finish, right from day one. PhonePe-rs solve complex problems and execute quickly; often building frameworks from scratch. If you&rsquo;re excited by the idea of building platforms that touch millions, ideating with some of the best minds in the country and executing on your dreams with purpose and speed, join us!
 
 
 
 Challenges
 
 
 
 Building for Scale, Rapid Iterative Development, and Customer-centric Product Thinking at each step defines every day for a developer at PhonePe. Though we engineer for a 50million+ strong user base, we code with every individual user in mind. While we are quick to adopt the latest in Engineering, we care utmost for security, stability, and automation. Apply if you want to experience the best combination of passionate application development and product-driven thinking
 
 
 
 As a Software Engineer:
 
 
 
 <ul>
 <li>
 You will build Robust and scalable web-based applications You will need to think of platforms &amp; reuse
 </li>
 <li>
 Build abstractions and contracts with separation of concerns for a larger scope
 </li>
 <li>
 Drive problem-solving skills for high-level business and technical problems.
 </li>
 <li>
 Do high-level design with guidance; Functional modeling, break-down of a module
 </li>
 <li>
 Do incremental changes to architecture: impact analysis of the same
 </li>
 <li>
 Do performance tuning and improvements in large scale distributed systems
 </li>
 <li>
 Mentor young minds and foster team spirit, break down execution into phases to bring predictability to overall execution
 </li>
 <li>
 Work closely with Product Manager to derive capability view from features/solutions, Lead execution of medium-sized projects
 </li>
 <li>
 Work with broader stakeholders to track the impact of projects/features and proactively iterate to improve them As a senior software engineer you must have
 </li>
 <li>
 Extensive and expert programming experience in at least one general programming language (e.g. Java, C, C++) &amp; tech stack to write maintainable, scalable, unit-tested code.
 </li>
 <li>
 Experience with multi-threading and concurrency programming
 </li>
 <li>
 Extensive experience in object-oriented design skills, knowledge of design patterns, and huge passion and ability to design intuitive module and class-level interfaces
 </li>
 <li>
 Excellent coding skills &ndash; should be able to convert the design into code fluently
 </li>
 <li>
 Knowledge of Test Driven Development
 </li>
 <li>
 Good understanding of databases (e.g. MySQL) and NoSQL (e.g. HBase, Elasticsearch, Aerospike, etc)
 </li>
 <li>
 Strong desire to solving complex and interesting real-world problems
 </li>
 <li>
 Experience with full life cycle development in any programming language on a Linux platform
 </li>
 <li>
 Go-getter attitude that reflects in energy and intent behind assigned tasks
 </li>
 <li>
 Worked in a startups environment with high levels of ownership and commitment
 </li>
 <li>
 BTech, MTech, or Ph.D. in Computer Science or related technical discipline (or equivalent).
 </li>
 <li>
 Experience in building highly scalable business applications, which involve implementing large complex business flows and dealing with a huge amount of data.
 </li>
 <li>
 5+ years of experience in the art of writing code and solving problems on a Large Scale.
 </li>
 <li>
 An open communicator who shares thoughts and opinions frequently listens intently and takes constructive feedback.
 
 
 </li>
 </ul>
 
 As a Software Engineer, good to have
 
 
 
 <ul>
 <li>
 The ability to drive the design and architecture of multiple subsystems
 </li>
 <li>
 Ability to break-down larger/fuzzier problems into smaller ones in the scope of the product
 </li>
 <li>
 Understanding of the industry&rsquo;s coding standards and an ability to create appropriate technical documentation.
 
 
 </li>
 </ul>
 
 PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles)
 
 
 
 <ul>
 <li>
 Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance
 </li>
 <li>
 Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System
 </li>
 <li>
 Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program
 </li>
 <li>
 Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy
 </li>
 <li>
 Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment
 </li>
 <li>
 Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy
 
 
 </li>
 </ul>
 
 
 Our inclusive culture promotes individual expression, creativity, innovation, and achievement and in turn helps us better understand and serve our customers. We see ourselves as a place for intellectual curiosity, ideas and debates, where diverse perspectives lead to deeper understanding and better quality results. PhonePe is an equal opportunity employer and is committed to treating all its employees and job applicants equally; regardless of gender, sexual preference, religion, race, color or disability. If you have a disability or special need that requires assistance or reasonable accommodation, during the application and hiring process, including support for the interview or onboarding process,
 
 
 
 
 please fill out this form.
 
 
 
 
 
 
 Read more about PhonePe
 
 
 
 
 on our blog
 
 
 
 
 .
 
 
 
 
 
 Life at PhonePe
 
 
 
 
 PhonePe in the news
 
</div>

Software Engineer, Backend (5-7) - BFSI

LSEG

<div>
 The Markets Pricing team plays a critical role in supporting the Digital &amp; Securities Markets business by crafting and driving commercial strategies across the product lifecycle&mdash;including ideation, development, launch, and ongoing management. The team also owns the development of analytics to inform and improve these strategies.
 
 
 This role will work closely with senior business leaders and product development teams to design and implement a balanced and competitive commercial policy. It offers a direct opportunity to influence the commercial performance of the division.
 
 
 Reporting to the Senior Manager, Markets Pricing, the
 
 Data Scientist
 
 will be instrumental in building and maintaining a robust analytical framework passionate about commercial performance and pricing strategy.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Creating and evolving pricing structures in support of business and commercial objectives
 </li>
 <li>
 Analysing and assuring the competitiveness of existing pricing structures
 </li>
 <li>
 Providing information and analysis on clients&rsquo; behaviour
 </li>
 <li>
 Monitoring the impact of LSEG pricing initiatives on clients and market quality
 </li>
 <li>
 Analysing competitors&rsquo; pricing initiatives
 </li>
 <li>
 Driving increased alignment in pricing structures across Capital Markets
 </li>
 <li>
 Effectively collaborate with business to provide high quality analysis to our stakeholders.
 </li>
 <li>
 Proactively identify, analyse and present commercial opportunities
 
 
 </li>
 </ul>
 SKILLS AND EXPERIENCE:
 
 
 
 Required Skills:
 
 
 
 <ul>
 <li>
 Communication, Collaboration and Analytical skills
 </li>
 <li>
 Intermediate proficiency in data visualisation tool (Eg: Tableau)
 </li>
 <li>
 Intermediate proficiency in Python (NumPy, Pandas, Prophet, scikit-learn)
 </li>
 <li>
 Intermediate proficiency in SQL
 
 
 </li>
 </ul>
 
 Desired Skills:
 
 
 
 <ul>
 <li>
 At least 2-3 years of professional experience is desirable
 </li>
 <li>
 Understanding of financial markets a plus
 </li>
 <li>
 Knowledge of developing forecasting models a plus
 </li>
 <li>
 Prior experience in Data Science and Advanced Analytics a plus
 
 
 </li>
 </ul>
 
 Education:
 
 
 
 Bachelor&rsquo;s Degree in Data Science or equivalent experience
 
 
 Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
 
 
 LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
 
 
 Our purpose is the foundation on which our culture is built. Our values of
 
 Integrity, Partnership
 
 ,
 
 Excellence
 
 and
 
 Change
 
 underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
 
 
 Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
 
 
 We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
 
 
 You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
 
 
 LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
 
 
 Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, your rights and how to contact us as a data subject.
 
 
 If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
</div>

Data Scientist

Explore 89+ Data science curriculum intern in Bangalore Jobs In Mangaluru this February. Find roles across top companies and apply now to boost your career.